Maryellen L Giger

发表

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Natalia Antropova, Benjamin Q Huynh, Maryellen L Giger, 2017, Medical physics.

Correlative feature analysis on FFDM.

Yading Yuan, Hui Li, Maryellen L Giger, 2008, Medical physics.

LUNGx Challenge for computerized lung nodule classification

Karen Drukker, Lubomir Hadjiiski, Keyvan Farahani, 2016, Journal of medical imaging.

Deep learning in medical imaging and radiation therapy.

Berkman Sahiner, Lubomir M. Hadjiiski, Karen Drukker, 2018, Medical physics.

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

Issam El Naqa, Randall K Ten Haken, Maryellen L Giger, 2020, The British journal of radiology.

Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls

Li Lan, Hui Li, Maryellen L Giger, 2014, Journal of medical imaging.

Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2017, Journal of medical imaging.

Preliminary assessment of dispersion versus absorption analysis of high spectral and spatial resolution magnetic resonance images in the diagnosis of breast cancer

Maryellen L Giger, Gregory S Karczmar, William A Weiss, 2015, Journal of medical imaging.

A brief history of the AAPM: Celebrating 60 years of contributions to medical physics practice and science.

Colin G Orton, Maryellen L Giger, M. Giger, 2018, Medical physics.

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2016, Journal of medical imaging.

Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Kyle J Myers, Berkman Sahiner, Heang-Ping Chan, 2012, Academic radiology.

Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers’ systems

Hiroyuki Abe, Li Lan, Hui Li, 2017, Journal of medical imaging.

A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer.

Yulei Jiang, Maryellen L Giger, Lorenzo L. Pesce, 2012, Medical physics.

Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography

Karen Drukker, Alexandra Edwards, Ingrid Reiser, 2014, Journal of medical imaging.

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Lubomir M. Hadjiiski, Karen Drukker, Kenny H. Cha, 2018, Journal of medical imaging.

Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.

Li Lan, Ulrich Bick, Weijie Chen, 2010, Academic radiology.

Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks

Hiroyuki Abe, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Variation in algorithm implementation across radiomics software

Hania Al-Hallaq, Maryellen L Giger, Samuel G Armato, 2018, Journal of medical imaging.

Artificial intelligence in the interpretation of breast cancer on MRI

Deepa Sheth, Maryellen L Giger, M. Giger, 2019, Journal of magnetic resonance imaging : JMRI.

A dual-stage method for lesion segmentation on digital mammograms.

Kenji Suzuki, Yading Yuan, Hui Li, 2007, Medical physics.

Breast density estimation from high spectral and spatial resolution MRI

Hiroyuki Abe, Hui Li, Maryellen L Giger, 2016, Journal of medical imaging.

Machine Learning in Medical Imaging.

Maryellen L Giger, M. Giger, 2018, Journal of the American College of Radiology : JACR.

Fuzzy c-means segmentation of major vessels in angiographic images of stroke

Karen Drukker, Timothy J Carroll, Maryellen L Giger, 2018, Journal of medical imaging.

Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer.

Maryellen L Giger, Charles E Metz, Karla Horsch, 2008, Academic radiology.

Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers.

Li Lan, Andrew R. Jamieson, Hui Li, 2014, Medical physics.

Comparison of radiographic texture analysis from computed radiography and bone densitometry systems.

Hui Li, Maryellen L Giger, Vit Jaros, 2004, Medical physics.

Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set.

Li Lan, Maryellen L Giger, Karla Horsch, 2006, Radiology.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Enhancement of breast CADx with unlabeled data.

Karen Drukker, Maryellen L Giger, Lorenzo L Pesce, 2010, Medical physics.

Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.

Karen Drukker, Maryellen L Giger, Charlene A Sennett, 2013, Medical physics.

Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers.

Zhimin Huo, Maryellen L Giger, Charles E Metz, 2002, Radiology.

Reproducibility and sources of variability in radiographic texture analysis of densitometric calcaneal images.

Maryellen L Giger, Masha Kocherginsky, Ann Pham, 2008, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Enhancement of breast CADx with unlabeled dataa).

Karen Drukker, Maryellen L Giger, Lorenzo L Pesce, 2010, Medical physics.

Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks.

Hui Li, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

Karen Drukker, Maryellen L Giger, Lorenzo L. Pesce, 2013, Academic radiology.

Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT.

Xiaochuan Pan, Martin King, Maryellen L Giger, 2007, Medical physics.

Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Li Lan, Yading Yuan, Andrew R. Jamieson, 2008, Academic radiology.

Residual analysis of the water resonance signal in breast lesions imaged with high spectral and spatial resolution (HiSS) MRI: a pilot study.

Maryellen L Giger, Gregory S Karczmar, Milica Medved, 2014, Medical physics.

Update on the potential role of CAD in radiologic interpretations: are we making progress?.

Maryellen L Giger, M. Giger, 2005, Academic radiology.

Research imaging in an academic medical center.

Feng Li, Maryellen L Giger, Samuel G Armato, 2012, Academic radiology.

Potential effect of different radiologist reporting methods on studies showing benefit of CAD.

Maryellen L Giger, Charles E Metz, Karla Horsch, 2008, Academic radiology.

Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.

Li Lan, Hui Li, Maryellen L Giger, 2007, Academic radiology.

Computer-aided diagnosis in radiology.

Maryellen L Giger, M. Giger, 2002, Academic radiology.

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Karen Drukker, Lubomir Hadjiiski, Keyvan Farahani, 2015, Journal of medical imaging.

Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma.

Hui Li, Li Lan, Deepa Sheth, 2019, Radiology.

Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis.

Maryellen L Giger, M. Giger, C. Engh, 2008, Academic radiology.

Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.

Karen Drukker, Heather Greenwood, Karla Kerlikowske, 2019, Radiology.

Update on the potential of computer-aided diagnosis for breast cancer.

Maryellen L Giger, M. Giger, 2010, Future oncology.

Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.

Karen Drukker, Hiroyuki Abe, Maryellen L Giger, 2015, European journal of radiology.

Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography.

Maryellen L Giger, Karla Horsch, M. Giger, 2004, Academic radiology.

Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer

Karen Drukker, Alexandra Edwards, John Papaioannou, 2018, Cancer Imaging.